|
|
Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
|
|
|
|
| Symbol | Correlation |
| |
0.352158 |
| |
0.352119 |
| |
0.352095 |
| |
0.352000 |
| |
0.351805 |
| |
0.351802 |
| |
0.351780 |
| |
0.351715 |
| |
0.351619 |
| |
0.351608 |
| |
0.351568 |
| |
0.351530 |
| |
0.351528 |
| |
0.351507 |
| |
0.351362 |
| |
0.351358 |
| |
0.351345 |
| |
0.351293 |
| |
0.351260 |
| |
0.351244 |
| |
0.351230 |
| |
0.351041 |
| |
0.351025 |
| |
0.350977 |
| |
0.350920 |
|
|
|
|
|
 Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
|
